Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use vishwa27/CN_BERT_Digit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vishwa27/CN_BERT_Digit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vishwa27/CN_BERT_Digit")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vishwa27/CN_BERT_Digit") model = AutoModelForSequenceClassification.from_pretrained("vishwa27/CN_BERT_Digit") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 11000
Browse files
model.safetensors
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runs/Nov16_15-00-00_575f41c15980/events.out.tfevents.1700146811.575f41c15980.315.0
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